SCS-C03 Valid Exam Sample | SCS-C03 Exam Questions And Answers
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Latest Updated Amazon SCS-C03 Valid Exam Sample: AWS Certified Security - Specialty - SCS-C03 Exam Questions And Answers
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Amazon AWS Certified Security - Specialty Sample Questions (Q75-Q80):
NEW QUESTION # 75
A company is running a new workload across accounts in an organization in AWS Organizations. All running resources must have a tag of CostCenter, and the tag must have one of three approved values. The company must enforce this policy and must prevent any changes of the CostCenter tag to a non-approved value.
Which solution will meet these requirements?
- A. Use AWS Config custom policy rule and an SCP to deny non-approved aws:RequestTag/CostCenter values.
- B. Enable tag policies, define allowed values, enforce noncompliant operations, and use an SCP to deny creation when aws:RequestTag/CostCenter is null.
- C. Use CloudTrail + EventBridge + Lambda to block creation.
- D. Enable tag policies and use EventBridge + Lambda to block changes.
Answer: B
Explanation:
AWS Organizations tag policies are designed to standardize and govern tag keys and allowed values across accounts. AWS Certified Security - Specialty documentation describes tag policies as a governance mechanism that helps enforce consistent tagging by specifying required tag keys and permitted values. To ensure every resource has the CostCenter tag at creation time, an SCP can deny create actions when aws:
RequestTag/CostCenter is missing (null). This prevents resources from being created without the required tag.
Tag policies then define the three approved values and can be configured to enforce or report noncompliance depending on supported services, ensuring that tag values remain within the allowed set and preventing drift to unapproved values. Compared with custom Lambda-based enforcement, this approach minimizes operational overhead and keeps enforcement within AWS native governance services. Option A partially addresses allowed values at request time but does not address ongoing governance as cleanly across many services. Option B is not preventive because Lambda runs after events and cannot reliably block all creations.
Option D still relies on custom logic and is not as operationally efficient as tag policies plus SCP guardrails.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
AWS Organizations Tag Policies
AWS Organizations SCP Condition Keys for Tag Enforcement
NEW QUESTION # 76
A company uses Amazon API Gateway to present REST APIs to users. An API developer wants to analyze API access patterns without the need to parse the log files.
Which combination of steps will meet these requirements with the LEAST effort? (Select TWO.)
- A. Select the Enable Detailed CloudWatch Metrics option on the required API stage.
- B. Use Amazon CloudWatch Logs Insights to analyze API access information.
- C. Configure an AWS CloudTrail trail destination for API Gateway events. Configure filters on the userIdentity, userAgent, and sourceIPAddress fields.
- D. Configure an Amazon S3 destination for API Gateway logs. Run Amazon Athena queries to analyze API access information.
- E. Configure access logging for the required API stage.
Answer: A,B
Explanation:
To analyze API access patterns with minimal effort andwithout parsing raw log files, the best approach is to rely onmetricsand built-in query tooling. EnablingDetailed CloudWatch Metricsfor an API Gateway stage (Option E) provides near-real-time, aggregated visibility into usage and performance patterns (such as request counts, latency, error rates like 4XX/5XX) that are ideal for identifying trends and spikes without handling logs.
For deeper pattern exploration when needed,CloudWatch Logs Insights(Option D) provides an interactive query experience over logs that are already in CloudWatch Logs, allowing quick filtering and aggregation. In practice, developers use metrics to understand access patterns at a high level and Logs Insights to slice and dice request data without building a separate parsing pipeline.
Options A and C still rely on enabling access logs and shipping them to S3/Athena, which is more setup and operational overhead (and still involves managing log storage/format). CloudTrail (Option B) records control- plane API calls to AWS services, not end-user access requests to your API methods, so it won't provide the desired access pattern view for API consumers. Therefore, Detailed CloudWatch Metrics plus CloudWatch Logs Insights is the least-effort combination for access pattern analysis.
NEW QUESTION # 77
A company has an encrypted Amazon Aurora DB cluster in the us-east-1 Region. The DB cluster is encrypted with an AWS Key Management Service (AWS KMS) customer managed key. To meet compliance requirements, the company needs to copy a DB snapshot to the us-west-1 Region. However, when the company tries to copy the snapshot to us-west-1, the company cannot access the key that was used to encrypt the original database.
What should the company do to set up the snapshot in us-west-1 with proper encryption?
- A. Create an IAM policy that allows access to the customer managed key in us-east-1. Specify arn:aws:rds:us-west-1:* as the principal.
- B. Create a new customer managed key in us-west-1. Use this new key to encrypt the snapshot in us-west-
1. - C. Create an IAM policy that allows access to the customer managed key in us-east-1. Specify arn:aws:
kms:us-west-1:* as the principal. - D. Use AWS Secrets Manager to store the customer managed key in us-west-1 as a secret. Use this secret to encrypt the snapshot in us-west-1.
Answer: B
Explanation:
AWS Key Management Service (KMS) customer managed keys areregional resources. According to the AWS Certified Security - Specialty Official Study Guide and KMS documentation, a KMS key created in one AWS Regioncannot be used directly in another Region. When copying an encrypted Amazon Aurora DB snapshot across Regions, the destination Region must have access to a KMS keythat exists in that Region.
Because the original KMS key resides in us-east-1, it cannot be accessed or referenced in us-west-1. The correct and supported approach is tocreate a new customer managed KMS key in us-west-1and specify that key when performing the cross-Region snapshot copy. Amazon RDS automatically decrypts the snapshot using the source Region key and re-encrypts it using the destination Region key during the copy process.
Option A is invalid because KMS keys cannot be stored or transferred through AWS Secrets Manager.
Options C and D are incorrect because IAM policies cannot grant cross-Region usage of a KMS key; KMS enforces strict regional boundaries regardless of IAM permissions.
AWS documentation clearly states thatcross-Region encrypted snapshot copies require a KMS key in the destination Region, making this approach mandatory for compliance and encryption continuity.
* AWS Certified Security - Specialty Official Study Guide
* AWS Key Management Service Developer Guide
* Amazon Aurora Security Documentation
NEW QUESTION # 78
A company is building a secure solution that relies on an AWS Key Management Service (AWS KMS) customer managed key. The company wants to allow AWS Lambda to use the KMS key. However, the company wants to prevent Amazon EC2 from using the key.
Which solution will meet these requirements?
- A. Use IAM explicit deny for EC2 instance profiles and allow for Lambda roles.
- B. Use an SCP to deny EC2 and allow Lambda.
- C. Use a KMS key policy with kms:ViaService conditions to allow Lambda usage and deny EC2 usage.
- D. Use aws:SourceIp and aws:AuthorizedService condition keys in the KMS key policy.
Answer: C
Explanation:
AWS KMS access control is primarily enforced through key policies (and optionally grants), and AWS recommends using key policy condition keys to restrict how keys can be used. The kms:ViaService condition key is specifically designed to restrict KMS API usage to requests that come through a particular AWS service endpoint in a specific Region. This is the most robust way to ensure a key can be used only via AWS Lambda (for example, lambda.<region>.amazonaws.com) and not via Amazon EC2 (ec2.<region>.
amazonaws.com), even if IAM permissions exist elsewhere. By writing a key policy that uses the Lambda execution role as the principal and conditions on kms:ViaService, the company can tightly bind key usage to Lambda-originated cryptographic operations while preventing use through EC2 service paths. Option A is weaker because EC2 is not the only way an IAM principal might use KMS, and relying on attaching explicit deny policies broadly is harder to manage and can miss principals. Option C is incorrect because aws:
AuthorizedService is not the typical mechanism for KMS service restriction, and SourceIp is unreliable for service-to-service calls. Option D is not ideal because SCPs do not provide fine-grained service-path restrictions for KMS usage and cannot "allow" beyond IAM; key policy controls still apply.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
AWS KMS Key Policies and Condition Keys
AWS KMS Best Practices for Service-Scoped Key Usage
NEW QUESTION # 79
A company has several Amazon S3 buckets that do not enforce encryption in transit. A security engineer must implement a solution that enforces encryption in transit for all the company's existing and future S3 buckets. Which solution will meet these requirements?
- A. Enable Amazon Inspector. Create a custom AWS Lambda rule. Create a Lambda function that applies a bucket policy to deny requests when the value of the aws:SecureTransport condition key is False. Set the Lambda function as the target of the rule.
- B. Create an AWS CloudTrail trail. Enable S3 data events on the trail. Create an AWS Lambda function that applies a bucket policy to deny requests when the value of the aws:SecureTransport condition key is False. Configure the CloudTrail trail to invoke the Lambda function.
- C. Enable AWS Config. Configure the s3-bucket-ssl-requests-only AWS Config managed rule and set the rule trigger type to Hybrid. Create an AWS Systems Manager Automation runbook that applies a bucket policy to deny requests when the value of the aws:SecureTransport condition key is False. Configure automatic remediation. Set the runbook as the target of the rule.
- D. Enable AWS Config. Create a proactive AWS Config Custom Policy rule. Create a Guard clause to evaluate the S3 bucket policies to check for a value of True for the aws:SecureTransport condition key. If the AWS Config rule evaluates to NON_COMPLIANT, block resource creation.
Answer: C
Explanation:
To enforce encryption in transit for Amazon S3, AWS best practice is to require HTTPS (TLS) by using a bucket policy condition that denies any request where aws:SecureTransport is false. The requirement includes both existing buckets and future buckets, so the control must continuously evaluate configuration drift and automatically remediate. AWS Config is the service intended for continuous configuration compliance monitoring across resources, and AWS Config managed rules provide standardized checks with low operational overhead. The s3-bucket-ssl-requests- only managed rule evaluates whether S3 buckets enforce SSL-only requests, aligning directly with enforcing encryption in transit. Setting the trigger type to Hybrid ensures evaluation both on configuration changes and periodically. Automatic remediation with an AWS Systems Manager Automation runbook allows the organization to apply or correct the bucket policy consistently at scale without manual work. This approach also supports governance by maintaining a measurable compliance status while actively fixing noncompliance. Option A is not the best fit because a "proactive" custom policy rule does not by itself remediate existing buckets and "block resource creation" is not how AWS Config enforces controls. Option C is incorrect because Amazon Inspector is a vulnerability management service and does not govern S3 bucket transport policies. Option D is inefficient and indirect because CloudTrail data events are not a compliance engine and would require custom processing.
NEW QUESTION # 80
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